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Opportunities

Job opportunities

BIFOLD welcomes job applications from interested parties year-round.

Ideal candidates are those who seek to challenge themselves academically, are passionate about data science and computer systems engineering, and possess expertise in Big Data analytics and Machine Learning, benchmarking, data science, scalable data management, scalable processing technologies that leverage hardware-based solutions, stream processing, or visual analytics.
In addition, you should have experience in two or more of the following: big data frameworks (e.g., Apache Flink, Apache Spark), database systems (e.g., SQL, NoSQL), and programming languages (e.g., Java, Javascript, Scala, C/C++, Python). Good knowledge of both German and English are strongly desired. However, at a minimum, candidates must be able to communicate in English.

Job applications should be directed to coordination@bifold.berlin
In general, applications must include a cover letter (specifying target position, and including the job reference number, when available), CV, academic transcripts, and letters of recommendation. Note: Postdoctoral Researcher applicants must also provide examples of past publications.

Open positions

Research Assist­ant-PostDoc

Research tasks in the field of machine learn­ing applied to chem­ical prob­lems.

Employer: Tech­ni­sche Uni­ver­sität Ber­lin – Fac­ulty IV – Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Machine Learn­ing

Salary: E 14 TV-L Ber­liner Hoch­schu­len

Starting date: 01/03/21

Closing date: 04/12/20

Reference number: IV-717/20

Full job posting: EN / DE

Research Assistant

Research assist­ant for an agil­ity sub-pro­ject (AP) of the BZML. The AP is car­ried out in close cooper­a­tion with the “Machine Learn­ing” group of Dr. Woj­ciech Samek, at the Fraunhofer Hein­rich Hertz Insti­tute. The Samek group devel­ops algorithms for explain­able AI, fed­er­ated and incre­mental learn­ing, and com­pres­sion tech­niques for neural net­works.

Employer: Tech­ni­sche Uni­ver­sität Ber­lin – Fac­ulty IV – Insti­tute of Soft­ware Engin­eer­ing and The­or­et­ical Com­puter Sci­ence / Machine Learn­ing

Salary: E 13 TV-L Ber­liner Hoch­schu­len

Starting date: At the earliest possible

Cosing date: 11/12/20

Reference number: IV-749/20

Full job posting: EN / DE

Educational Programs

EIT Digital Data Science Master’s Program

The EIT Digital, European Institute of Innovation & Technology, has recently established a newData Science Master’s Program, which is launched in 2015. As one of six European universities involved in this initiative – KTH/Stockholm, UNS/Nice-Sophia, TUB/Berlin, TUE/Eindhoven, UPM/Madrid, PoliMi/Mailand – TU Berlin offers a specialisation in the Design, Implementation, and Usage of Data Science Instruments, which provides training in three key areas, namely,

  • scalable data management
  • data analysis & machine learning
  • applications

Please, learn more about:

the Data Science Master (DSC)

the EIT Digital Master School

the EIT Digital, European Institute of Innovation & Technology

Data Science and Engineering Master’s Track

School IV, Electrical Engineering and Computer Science, of Technische Universität Berlin offers a Data Science and Engineering Track (Certification) integrated in the master’s study program of computer science, computer engineering and business intelligence. During the studies three columns support the specialization:

  • Scalable Data Analytics
  • Scalable Data Management
  • An application area

Application areas are:

Medical science, materials research, energy, logistics

A wide range of english courses guarantees that students without German language knowledge can follow this track.

Description of the certified Data Science and Engineering Track (pdf)

Learn more about the Data Analytics Laboratory

BDMA Master Program

After five years IT4BI Master program, the new Erasmus+ BDMA program favours the integration of students into a network of specialists and researchers in Business Intelligence and Big Data. The Joint Master Degree Programme in Big Data Management and Analytics (BDMA) has been jointly designed and adheres to international studies, being structured to cover all the skills BI and BD specialists require.

The curriculum is jointly delivered by Université Libre de Bruxelles (ULB) in Belgium, Universitat Politècnica de Catalunya (UPC) in Spain, Technische Universität Berlin (TUB) in Germany, CentraleSupélec (CS) in France, and The Eindhoven University of Technology (TU/e) in the Netherlands. TUB / DIMA (local program coordinator) offers the specialization Distributed and Large-Scale Business Intelligence.

Learn more about

the BDMA program

the 3rd and 4th semester specialization @DIMA/TUB